Machine Learning Engineer (Python, TensorFlow, Pytorch, VLLM ) : Onsite / Hybrid and F2F Interview for Multiple location in canada

Position : Machine Learning Engineer (Python, TensorFlow, Pytorch, VLLM ) : Onsite / Hybrid and F2F Interview : Only for Canada

Location : Toronto Canada / Vancouver Canada / Calgary Canada (Onsite / Hybrid: 2-3 days/week)

Experience : 8+ Years

Type of Job : Contract : 12 Months

Mode of Interview : Telephonic/Face to Face/Video Interview

Skills Required

• Proficiency in Python and experience with machine learning and AI frameworks (e.g., TensorFlow, PyTorch, VLLM, Llama).

• Knowledge of data preprocessing, feature engineering, and fine-tuning ML models.

• Familiarity with RESTful APIs for interacting with third-party tools and services.

• Experience in developing scripts or tools for process automation.

Job description

The Machine Learning Engineer will contribute to the success of the organization’s AI/ML initiatives by focusing

• Design and develop software tools for automating the evaluation of datasets and model outputs, reducing manual validation overhead

• Create scripts and utilities to streamline data annotation and validation workflows.

• Develop performance monitoring tools to assess the quality and efficiency of automated processes.

• Assist in the design and implementation of fine-tuning pipelines for supervised machine learning models